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I am confused. How do you get the visualization of estimated pose using pretrained models on an image?
[jalal@goku hourglasstensorlfow]$ ls -ltra total 1048044 -rw-r--r--. 1 jalal cs-grad 375890392 Apr 4 2017 YOLO_small.ckpt -rw-r--r--. 1 jalal cs-grad 68410 Aug 11 2017 hg_refined_200.index -rw-r--r--. 1 jalal cs-grad 173234692 Aug 11 2017 hg_refined_200.data-00000-of-00001 drwxr-xr-x. 15 jalal cs-grad 4096 Mar 25 04:19 .. -rw-r--r--. 1 jalal cs-grad 20762 Mar 25 04:19 datagen.py -rw-r--r--. 1 jalal cs-grad 1131 Mar 25 04:19 config.py -rw-r--r--. 1 jalal cs-grad 817 Mar 25 04:19 config.cfg -rw-r--r--. 1 jalal cs-grad 5835 Mar 25 04:19 README.txt -rw-r--r--. 1 jalal cs-grad 6646 Mar 25 04:19 README.md -rw-r--r--. 1 jalal cs-grad 4573 Mar 25 04:19 filters.py -rw-r--r--. 1 jalal cs-grad 6055266 Mar 25 04:19 dataset.txt -rw-r--r--. 1 jalal cs-grad 9257 Mar 25 04:19 inference.py -rw-r--r--. 1 jalal cs-grad 35449 Mar 25 04:19 hourglass_tiny.py -rw-r--r--. 1 jalal cs-grad 9161356 Mar 25 04:19 opencv_ffmpeg.dll -rw-r--r--. 1 jalal cs-grad 9219038 Mar 25 04:19 opencv_ffmpeg_64.dll -rw-r--r--. 1 jalal cs-grad 46899 Mar 25 04:19 p4frames.mat -rw-r--r--. 1 jalal cs-grad 1130 Mar 25 04:19 timer.py -rw-r--r--. 1 jalal cs-grad 51242 Mar 25 04:19 predictClass.py -rw-r--r--. 1 jalal cs-grad 170640 Mar 25 04:19 pckhfULL.png -rw-r--r--. 1 jalal cs-grad 11471 Mar 25 04:19 yolo_net.py drwxr-xr-x. 2 jalal cs-grad 145 Mar 25 04:19 v0.1 -rw-r--r--. 1 jalal cs-grad 2041 Mar 25 04:19 train_launcher.py drwxr-xr-x. 8 jalal cs-grad 211 Mar 25 04:19 .git -rw-r--r--. 1 jalal cs-grad 420411266 Mar 25 04:20 DHPE-RegularHG-01283493-Walid-BENBIHI.zip drwxr-xr-x. 2 jalal cs-grad 54 Mar 25 04:21 DHPE-RegularHG-01283493-Walid-BENBIHI drwxr-xr-x. 6 jalal cs-grad 4096 Mar 25 04:22 . drwxr-xr-x. 2 jalal cs-grad 235 Mar 25 04:22 __pycache__ [jalal@goku hourglasstensorlfow]$ /scratch/sjn/anaconda/bin/python inference.py /scratch/sjn/anaconda/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_converters [jalal@goku hourglasstensorlfow]$ ls DHPE-RegularHG-01283493-Walid-BENBIHI README.txt config.cfg dataset.txt hg_refined_200.index opencv_ffmpeg.dll pckhfULL.png train_launcher.py DHPE-RegularHG-01283493-Walid-BENBIHI.zip YOLO_small.ckpt config.py filters.py hourglass_tiny.py opencv_ffmpeg_64.dll predictClass.py v0.1 README.md __pycache__ datagen.py hg_refined_200.data-00000-of-00001 inference.py p4frames.mat timer.py yolo_net.py [jalal@goku hourglasstensorlfow]$ /scratch/sjn/anaconda/bin/python predictClass.py /scratch/sjn/anaconda/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_converters Traceback (most recent call last): File "predictClass.py", line 1283, in <module> predict = PredictProcessor(params) File "predictClass.py", line 63, in __init__ self.HG = HourglassModel(nFeat= self.params['nfeats'], nStack = self.params['nstacks'], KeyError: 'nfeats' [jalal@goku hourglasstensorlfow]$
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I am confused. How do you get the visualization of estimated pose using pretrained models on an image?
The text was updated successfully, but these errors were encountered: